Official description๐ โ๏ธ - Deterministic refund eligibility checks for subscriptions (Adobe, Spotify, etc.), returning ALLOWED, DENIED or UNKNOWN from a stateless rules engine.
Config template (adjust for your client)
claude mcp add decide -- npx -y decide
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
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1 โ ยท decidefyi/decide ยท read from the GitHub search API ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
Score
score 703 ยท 1 โ ยท 7 sources ยท mcp
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repository decidefyi/decide๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
> Deterministic Decision API engine powering workflow applications, stable MCP notary remotes, decision memo packets, and execution gates **Positioning:** Decide Runtime is the general deterministic decision engine. Decide Services are standalone specialized checks built on it; Policy Notaries is the existing family. Krafthaus owns workflow applications built on Decide, including intake, review, and execution handoff. MCP, REST, and SDK interfaces belong to the product they expose, not automatically to Krafthaus. See the ecosystem ownership contract. Direct service and runtime integrations do not require a Krafthaus app. Policy checks are one service family, not the definition of the general Decision API. Gate agent tool calls before execution Use Decide to evaluate an agent-proposed action against a deterministic rulebook before the tool receives authority to change state. The caller gets a replayable Decision Record and routes yes, no, or review while retaining control of credentials and execution. See the AI agent action gate guide Production Determinism Boundary Binding production verdicts should use a versioned declarative rulebook: Runtime architecture: see docs/RULEBOOK_RUNTIME_ARCHITECTURE.md. Machine-readable schema: https://api.decide.fyi/schemas/rulebook-v1.schema.json. Active runtime manifest: https://api.decide.fyi/manifests/rulebook-runtime-v1.json. Downstream application binding: decide_application_binding_v1. The production core is hybrid_declarative_rulebook_with_trusted_adapters: direct declarative rulebooks are supported, registered first-party trusted adapters may supply bounded facts, and customer executable rulebooks are rejected. In both supported binding modes, Rulebook v1 remains the only binding verdict selector. mode: "rulebook" does not call an LLM. It validates the request rulebook against the published JSON Schema, hashes the rulebook, evaluates bounded conditions, and returns yes, no, or review alongside the application verdict, action, reason code, matched rule, and evaluator_version. Responses also include rulebook_contract with the enforced schema URL/hash, runtime_binding with the direct or trusted-adapter binding mode, input_hash, a SHA-256 hash of the canonical inputs or adapter facts consumed by the declarative evaluator, plus a rulebook_attestation_v1 bundle hash over the deterministic execution tuple. Production deployments can sign that bundle hash with a rulebook_attestation_signature_v1 Ed25519 envelope; verification keys are published at /.well-known/rulebook-attestation-keys.json. Set DECIDE_RULEBOOK_ATTESTATION_SIGNATURE_REQUIRED=true in production to fail closed instead of returning unsigned Rulebook decisions. Publish retired public verification keys with DECIDE_RULEBOOK_ATTESTATION_KEY_HISTORY_JSON so older Decision Records remain verifiable after rotation. Rulebook requests cannot preload Decide-generated Decision Record material. Fields such as runtime_binding, trusted_adapter, adapter_facts, rulebook_attestation, application_verdict, and action are response-only at the request body, context.inputs, and adapter-facts boundaries; attempts return RULEBOOK_OUTPUT_MATERIAL_FORBIDDEN. Legacy single, multi, and runtime requests remain available for AI-assisted exploration, but they are not binding production verdicts. Those responses include decision_contract with authority: "advisory_only" and production_verdict: false, plus production_binding_required: true and the supported production binding modes; callers that need deterministic execution must use mode: "rulebook" and capture rulebook_contract, runtime_binding, and the Rulebook attestation material. At the public Decision Record boundary, successful evaluations are registered as immutable tenant-scoped snapshots. Historical replay restores the original canonical input and stored rulebook snapshot rather than trusting a caller override or the current application deployment. Rulebook v1 also supports registered first-party trusted adapters for bounded fact normalization. Adapter requests pin an exact semantic version and manifest hash; responses attest the bundled implementation source hash plus canonical input/output hashes and the enforced execution contract. Each invocation runs once in an empty-environment worker with hard time/resource limits and denied common ambient capabilities. The declarative rulebook remains the only binding verdict selector. See docs/TRUSTED_ADAPTERS_V1.md. The current reference applications prove both production patterns: Solana